Check computer science papers: citations, claims and retractions

The Chinese approach to artificial intelligence: an analysis of policy, ethics, and regulation

Roberts, H., Cowls, J., Morley, J., Taddeo, M., Wang, V., & Floridi, L. (2021) · AI & SOCIETY

Ethics and Social Impacts of AIArtificial Intelligence Applications

Cited by 573

Towards Environment Independent Device Free Human Activity Recognition

Jiang, W., Miao, C., Ma, F., Yao, S., Wang, Y., Yuan, Y., Xue, H., Song, C., Ma, X., Koutsonikolas, D., et al. (2018) · Proceedings of the 24th Annual International Conference on Mobile Computing and Networking

Context-Aware Activity Recognition SystemsIndoor and Outdoor Localization Technologies

Cited by 573

HOLMES: Real-Time APT Detection through Correlation of Suspicious Information Flows

Milajerdi, S. M., Gjomemo, R., Eshete, B., Sekar, R., & Venkatakrishnan, V. N. (2019) · 2019 IEEE Symposium on Security and Privacy (SP)

Network Security and Intrusion DetectionDigital and Cyber Forensics

Cited by 573

A color image cryptosystem based on dynamic DNA encryption and chaos

Chai, X., Fu, X., Gan, Z., Lu, Y., & Chen, Y. (2019) · Signal Processing

Chaos-based Image/Signal EncryptionComputer Science and Engineering

Cited by 573

Software Testing With Large Language Models: Survey, Landscape, and Vision

Wang, J., Huang, Y., Chen, C., Liu, Z., Wang, S., & Wang, Q. (2024) · IEEE Transactions on Software Engineering

Software Testing and Debugging TechniquesSoftware Engineering Research

Cited by 573

ACDC: The Adverse Conditions Dataset with Correspondences for Semantic Driving Scene Understanding

Sakaridis, C., Dai, D., & Van Gool, L. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 572

Revisiting Knowledge Distillation via Label Smoothing Regularization

Yuan, L., Tay, F. E., Li, G., Wang, T., & Feng, J. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 572

Edge AI: A survey

Singh, R., & Gill, S. S. (2023) · Internet of Things and Cyber-Physical Systems

IoT and Edge/Fog ComputingInternet of Things and AI

Cited by 572

Learned in Translation: Contextualized Word Vectors

McCann, B., Bradbury, J., Xiong, C., & Socher, R. (2017) · arXiv

Topic ModelingSentiment Analysis and Opinion Mining

Cited by 572

A review on extreme learning machine

Wang, J., Lu, S., Wang, S.-H., & Zhang, Y.-D. (2022) · Multimedia Tools and Applications

Machine Learning and ELMNeural Networks and Applications

Cited by 572

A foundation model for clinical-grade computational pathology and rare cancers detection

Vorontsov, E., Bozkurt, A., Casson, A., Shaikovski, G., Zelechowski, M., Severson, K., Zimmermann, E., Hall, J., Tenenholtz, N., Fusi, N., et al. (2024) · Nature Medicine

AI in cancer detectionArtificial Intelligence in Healthcare and Education

Cited by 572

The Language of Actions: Recovering the Syntax and Semantics of Goal-Directed Human Activities

Kuehne, H., Arslan, A., & Serre, T. (2014) · 2014 IEEE Conference on Computer Vision and Pattern Recognition

Human Pose and Action RecognitionContext-Aware Activity Recognition Systems

Cited by 571

Spoken dialogue technology: enabling the conversational user interface

McTear, M. F. (2002) · ACM Computing Surveys

Speech and dialogue systemsSpeech Recognition and Synthesis

Cited by 571

DiffusionCLIP: Text-Guided Diffusion Models for Robust Image Manipulation

Kim, G., Kwon, T., & Ye, J. C. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Generative Adversarial Networks and Image SynthesisDigital Media Forensic Detection

Cited by 570

How to train your robot with deep reinforcement learning: Lessons we have learned

Ibarz, J., Tan, J., Finn, C., Kalakrishnan, M., Pastor, P., & Levine, S. (2021) · The International Journal of Robotics Research

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 570

Connecting Ansatz Expressibility to Gradient Magnitudes and Barren Plateaus

Holmes, Z., Sharma, K., Cerezo, M., & Coles, P. J. (2022) · PRX Quantum

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 570

Improving Multimodal Fusion with Hierarchical Mutual Information Maximization for Multimodal Sentiment Analysis

Han, W., Chen, H., & Poria, S. (2021) · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing

Sentiment Analysis and Opinion MiningMultimodal Machine Learning Applications

Cited by 570

Towards a digital body: the virtual arm illusion

Slater, M. (2008) · Frontiers in Human Neuroscience

Virtual Reality Applications and ImpactsMultisensory perception and integration

Cited by 570

Twitter Heron: Stream Processing at Scale

Kulkarni, S., Bhagat, N., Fu, M., Kedigehalli, V., Kellogg, C., Mittal, S., Patel, J. M., Ramasamy, K., & Taneja, S. (2015) · Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data

Advanced Database Systems and QueriesCloud Computing and Resource Management

Cited by 570

Unique in the shopping mall: On the reidentifiability of credit card metadata

de Montjoye, Y.-A., Radaelli, L., Singh, V. K., & Pentland, A. “. (2015) · Science

Privacy-Preserving Technologies in DataPrivacy, Security, and Data Protection

Cited by 570

Automatic Indexing: An Experimental Inquiry

Maron, M. E. (1961) · Journal of the ACM

Text and Document Classification TechnologiesAdvanced Text Analysis Techniques

Cited by 570

A Survey of Deep Learning Methods for Cyber Security

Berman, D. S., Buczak, A. L., Chavis, J. S., & Corbett, C. L. (2019) · Information

Network Security and Intrusion DetectionAdversarial Robustness in Machine Learning

Cited by 569

From Detection of Individual Metastases to Classification of Lymph Node Status at the Patient Level: The CAMELYON17 Challenge

Bandi, P., Geessink, O., Manson, Q., Van Dijk, M., Balkenhol, M., Hermsen, M., Ehteshami Bejnordi, B., Lee, B., Paeng, K., Zhong, A., et al. (2019) · IEEE Transactions on Medical Imaging

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 569

Efficient and Privacy-Enhanced Federated Learning for Industrial Artificial Intelligence

Hao, M., Li, H., Luo, X., Xu, G., Yang, H., & Liu, S. (2020) · IEEE Transactions on Industrial Informatics

Privacy-Preserving Technologies in DataCryptography and Data Security

Cited by 569